Responsibilities:
• Develop computer vision systems for enterprises to be used by hundreds of our
customers
• Enhance existing Computer vision systems to achieve high performance
• Prototype new algorithms rapidly, iterating to achieve high levels of performance
• Package these prototypes as robust models written in production level code to be
integrated into the product
• Work closely with the ML engineers to explore and enhance new product features
leading to new areas of business
Requirements:
Strong understanding of linear algebra, optimisation, probability, statistics
• Experience in the data science methodology from exploratory data analysis, feature
engineering, model selection, deployment of the model at scale and model evaluation
• Background in machine learning with experience in large scale training and
convolutional neural networks
• Deep understanding of evaluation metrics for different computer vision tasks
• Knowledge of common architectures for various computer vision tasks like object
detection, recognition, and semantic segmentation
• Experience with model quantization is a plus
• Experience with Python Web Framework (Django/Flask/FastAPI), Machine Learning
frameworks like Tensorflow/Keras/Pytorch
About Leena AI
About
Connect with the team
Similar jobs
https://www.ynos.in/" target="_blank">YNOS is a next-generation funded startup founded by IIT Madras faculty and incubated at IIT Madras Incubation Cell. It is a digital platform for Entrepreneurs, Investors, Innovators and Eco-system enablers, providing actionable insights on the startup and investment landscape in India. We are passionate about solving tough problems using technology and data, making a difference
The Opening
We are presently seeking for our next enthusiastic, talented, and driven Python Backend Engineer to start right away. We'd want you to
- Be excited about building a next-generation intelligence platform
- Possess a can-do attitude and be open to new challenges
- Value working with a great team - self-assured, creative, and insightful individuals who work together to achieve amazing things
- Be willing to explore, learn, and contribute new ideas to the platform, thereby improving it
- Be high on self-belief and enthusiasm to work in a startup culture - small team, fast-paced work environment
If this is you, we'd love to hear from you!
As the Python Backend Engineer in https://www.ynos.in/" target="_blank">YNOS, you will
- Create reusable optimised code and libraries
- Deploy task management systems and automate routine tasks
- Build performant apps that adhere to the best practices, therefore increasing latency, performance, and scalability
- Improve the existing codebase while reducing technical debt
- Take charge of all elements of the application, including architecture, quality, and efficiency
Requirements
- Proficient understanding of Python language
- Expertise in developing web apps and APIs using Python frameworks like Flask with an overall grasp of client-server interactions
- Familiarity with task management systems and process automation
- Comfortable with using Command Line and Linux systems
- Experience and understanding of version control systems like git, svn, etc
- Knowledge of NoSQL databases such as MongoDB
Good to have
- Expertise in other backend frameworks viz. Django, NodeJS, Go, Rust etc
- Knowledge of data-modelling, data-wrangling & data-mining techniques
- Experience with data visualisation tools & libraries such as Plotly, Seaborn etc
- Exposure to Statistical and Machine Learning (ML) techniques, particularly in the field of Natural Language Processing (NLP)
- Familiarity with front-end tools & frameworks such as HTML, CSS, JS, React, Vue, and others
Work location, Job type & Salary
- Our office is located at https://respark.iitm.ac.in/" target="_blank">IIT Madras Research Park, Chennai, Tamil Nadu, surrounded by the beautiful IITM Campus!
- This is a full-time position and we’d like you to relocate to Chennai
- Expected salary range ₹6L - ₹8L per annum
A small description about the Company.
It is an Account Engagement Platform which helps B2B organizations to achieve predictable revenue growth by putting the power of AI, big data, and machine learning behind every member of the revenue team.
Looking for PYTHON DEVELOPER.
- Experience building and managing large scale data/analytics systems.
- Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good
understanding of software design principles and architectural best practices.
- Be passionate about writing code and have experience coding in multiple languages, including at least
one scripting language, preferably Python.
- Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision
is right/wrong, and so on.
- Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
- Have exposure and working knowledge in AI environment with Machine learning experience
- Have experience working with multiple storage and indexing technologies such as MySQL, Redis,
MongoDB, Cassandra, Elastic.
- Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
- Use the command line like a pro. Be proficient in Git and other essential software development tools.
- Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
- Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana,
Graylog, StatsD, Datadog etc
Sizzle is an exciting new startup that’s changing the world of gaming. At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar Python expert to help develop and deploy our AI pipeline. The main task will be deploying models and algorithms developed by our AI team, and keeping the daily production pipeline running. Our pipeline is centered around several microservices, all written in Python, that coordinate their actions through a database. We’re looking for developers with deep experience in Python including profiling and improving the performance of production code, multiprocessing / multithreading, and managing a pipeline that is constantly running. AI/ML experience is a plus, but not necessary. AWS / docker / CI/CD practices are also a plus. If you are a gamer or streamer, or enjoy watching video games and streams, that is also definitely a plus :-)
You will be responsible for:
- Building Python scripts to deploy our AI components into pipeline and production
- Developing logic to ensure multiple different AI components work together seamlessly through a microservices architecture
- Managing our daily pipeline on both on-premise servers and AWS
- Working closely with the AI engineering, backend and frontend teams
You should have the following qualities:
- Deep expertise in Python including:
- Multiprocessing / multithreaded applications
- Class-based inheritance and modules
- DB integration including pymongo and sqlalchemy (we have MongoDB and PostgreSQL databases on our backend)
- Understanding Python performance bottlenecks, and how to profile and improve the performance of production code including:
- Optimal multithreading / multiprocessing strategies
- Memory bottlenecks and other bottlenecks encountered with large datasets and use of numpy / opencv / image processing
- Experience in creating soft real-time processing tasks is a plus
- Expertise in Docker-based virtualization including:
- Creating & maintaining custom Docker images
- Deployment of Docker images on cloud and on-premise services
- Experience with maintaining cloud applications in AWS environments
- Experience in deploying machine learning algorithms into production (e.g. PyTorch, tensorflow, opencv, etc) is a plus
- Experience with image processing in python is a plus (e.g. openCV, Pillow, etc)
- Experience with running Nvidia GPU / CUDA-based tasks is a plus (Nvidia Triton, MLFlow)
- Knowledge of video file formats (mp4, mov, avi, etc.), encoding, compression, and using ffmpeg to perform common video processing tasks is a plus.
- Excited about working in a fast-changing startup environment
- Willingness to learn rapidly on the job, try different things, and deliver results
- Ideally a gamer or someone interested in watching gaming content online
Seniority: We are looking for a mid to senior level engineer
Salary: Will be commensurate with experience.
Who Should Apply:
If you have the right experience, regardless of your seniority, please apply.
Work Experience: 4 years to 8 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with thousands of gaming streamers to automatically create highlights and social content for them. Sizzle is available at www.sizzle.gg.
Job Description
JD - Python Developer
Responsibilities
- Design and implement software features based on requirements
- Architect new features for products or tools
- Articulate and document designs as needed
- Prepare and present technical training
- Provide estimates and status for development tasks
- Work effectively in a highly collaborative and iterative development process
- Work effectively with the Product, QA, and DevOps team.
- Troubleshoot issues and correct defects when required
- Build unit and integration tests that assure correct behavior and increase the maintainability of the code base
- Apply dev-ops and automation as needed
- Commit to continuous learning and enhancement of skills and product knowledge
Required Qualifications
- Minimum of 5 years of relevant experience in development and design
- Proficiency in Python and extensive knowledge of the associated libraries Extensive experience with Python data science libraries: TensorFlow, NumPy, SciPy, Pandas, etc.
- Strong skills in producing visuals with algorithm results
- Strong SQL and working knowledge of Microsoft SQL Server and other data storage technologies
- Strong web development skills Advance knowledge with ORM and data access patterns
- Experienced working using Scrum and Agile methodologies
- Excellent debugging and troubleshooting skills
- Deep knowledge of DevOps practices and cloud services
- Strong collaboration and verbal and written communication skills
- Self-starter, detail-oriented, organized, and thorough
- Strong interpersonal skills and a team-oriented mindset
- Fast learner and creative capacity for developing innovative solutions to complex problems
Skills
PYTHON, SQL, TensorFlow, NumPy, SciPy, Pandas
- Developing chatbots and voice assistants on various platforms for diverse business use-cases
- Work on a chatbot framework/architecture using an open-source tool or library
- Implement Natural Language Processing (NLP) for chatbots
- Integration of chatbots with Management Dashboards and CRMs
- Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process
- Deploy applications using CI/CD tools
- Designing and building highly scalable AI and ML solutions
- Ability to understand business requirements and translate them into technical requirements
- Open-minded, flexible, and willing to adapt to changing situations
- Ability to work independently as well as on a team and learn from colleagues
- High adaptability in a dynamic start-up environment.
- Experience with bot multi-lingual utilization (preferred)
- Experience with bot human escalation
- Ability to optimize applications for maximum speed and scalability
- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.
QUALIFICATIONS : B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities
SKILLS REQUIRED :
- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.
- Hands-on experience building and deploying chatbots.
- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.
- Experience with both text to speech and vice versa transformation incorporation.
- Should have a good understanding of various Chatbot frameworks/platforms/libraries.
- Build and evolve/train the NLP platform from natural language text data being gathered from users on a daily basis.
- Code using primarily Python.
- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.
- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.
- Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning
- Techniques - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.
- Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.
- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL
- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.
- Knowledge of Linux shell commands.
- Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.
- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.
MUST HAVE :
- Strong foundation in the python programming language.
- Experience with various chatbot frameworks especially Rasa and Dialogflow.
- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.
- Experience with RESTful services.
- Good understanding of HTTPS and Enterprise security.
Your responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
- Understanding business use cases and requirements for different internal teams
- Maintenance of existing projects and New feature development
- Consume and integrate classifier/ ML snippets from Data science team
What we are looking for:
- 2+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
- Good analytical skills with strong fundamentals of data structures and algorithms
- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases.
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Requests, sklearn, Selenium
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good Humor
Responsibilities:
- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Integration of user-facing elements developed by front-end developers with server side logic
- Implementation of security and data protection
- Integration of data storage solutions (may include databases, key-value stores, blob stores, etc.)
- Expert in Python, with knowledge of at least one Python web framework (such as Django, Flask, etc depending on your technology stack)
- Familiarity with some ORM (Object Relational Mapper) libraries
- Able to integrate multiple data sources and databases into one system
- Understanding of the threading limitations of Python, and multi-process architecture
- Good understanding of server-side templating languages (such as Jinja 2, Mako, etc depending on your technology stack)
- Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
- Understanding of accessibility and security compliance (depending on the specific project)
- Knowledge of user authentication and authorization between multiple systems, servers, and environments
- Understanding of fundamental design principles behind a scalable application
- Familiarity with event-driven programming in Python
- Understanding of the differences between multiple delivery platforms, such as mobile vs desktop, and optimizing output to match the specific platform
- Able to create database schemas that represent and support business processes
- Strong unit test and debugging skills
- Basic knowledge of machine learning algorithm and libraries like keras, tensorflow, sklearn.